Miguel Razo
Papers
1
Total Citations
10
H-Index
1
About
Miguel Razo is a leading researcher in the intersection of optical networking, software-defined networking (SDN), and industrial robotics. His work focuses on enabling geographically unconstrained, real-time control of industrial machines by leveraging advanced transport networks and edge computing. In his seminal 2016 demonstration, Razo and his team showed for the first time that an industrial robot performing surface blending could be reliably controlled from a remote location over a multi-domain SDN-based optical transport network. This breakthrough, which has garnered over 10 citations, proved that cloud and edge compute architectures can significantly improve the controllability and responsiveness of industrial robots, overcoming the latency and reliability barriers that previously limited remote operation. By integrating SDN-controlled optical networks with edge computing, Razo’s research paves the way for flexible, scalable manufacturing systems where robots can be managed from anywhere. His contributions are foundational for the future of Industry 4.0, demonstrating how intelligent networking can unlock new capabilities in automation and remote industrial control.
Research Focus
Key Achievements
Top Papers
- 1First demonstration of geographically unconstrained control of an industrial robot by jointly employing SDN-based optical transport networks and edge compute10 citations · 2016